The S17 library

Library of infrared spectral energy distributions of galaxies calibrated on the deepest Spitzer and Herschel images


Project maintained by cschreib Hosted on GitHub Pages — Theme by mattgraham

Short description

This is a library of model infrared spectra of galaxies introduced in Schreiber et al. (2018), calibrated on the deepest Spitzer and Herschel images in the CANDELS fields. These are based on the physically-motivated dust model of Galliano et al. (2011), using amorphous carbon grains.

The library is composed of two files: 's17_dust.fits' which contains the dust continuum templates created by big grains, and 's17_pah.fits' which contains the mid-infrared features coming from polycyclic aromatic hydrocarbon molecules (PAHs). Each file contains the same number of templates (150), each corresponding to a different intensity of the interstellar radiation field (<U>) or, equivalently, to a different dust temperature (Tdust). These templates correspond to the luminosity (expressed in units of the solar luminosity) emitted by a cloud of dust of mass equal to one solar mass. The big grain and PAH templates can be co-added with an arbitrary weight (fPAH) to form a full dust spectrum and vary the IR8 ratio (LIR/L8).

How to get it?

You can get the library by downloading one of the .tgz or .zip archives, linked at the top of the page.

How to use it?

To facilitate the usage of this library, two IDL/GDL scripts are provided. The first, 'get_s17_template.pro', will create a new spectrum given Tdust and IR8. The second, 'get_s17_template_calib.pro', will use the calibrated evolution of Tdust and IR8 with redshift (plus an additional, optional dependence on the Main Sequence offset) that is published in the paper. Therefore it will create a spectrum based solely on the redshift. Further documentation is available in each file.

Lastly, an example IDL/GDL script ('example.pro') is provided to show how the above procedures can be used, and to illustrate the features of the library.

Warning: if you are trying to reproduce the fits from Schreiber et al. (2018), beware that there is a typo in Table 1 of that paper. The dust masses are actually given in units of 10^8 Msun, and not 10^7 as incorrectly written in the table header.